rishiraj/autolgbm
LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.
This tool helps data analysts and researchers quickly build and deploy predictive models. You provide a CSV file with your data, and it automatically trains, optimizes, and even serves a high-performing LightGBM model. The output includes predictions and a ready-to-use model for classification or regression tasks.
No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly create and deploy a predictive model from tabular data without deep expertise in machine learning model tuning or deployment.
Not ideal if you require fine-grained control over model architecture, feature engineering, or specific hyperparameter search spaces.
Stars
35
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 13, 2022
Commits (30d)
0
Dependencies
11
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